SCoT (Sense Clustering over Time) is a web application to view the senses of a word and their evolvement over time. The idea is to help anyone interested in diachronic semantics visualize and compare the meanings a word had at different points in time.

The functionalities and usage are described in the user guide. If you would like to deploy SCoT yourself or keep working on it see the installation guide for developers for more information.

SCoT is developed since 2019. The project is maintained by the Language Technology Group at Universität Hamburg.

Developers:

• Inga Kempfert
• Saba Anwar

Supervision:

• Seid Muhie Yimam
• Alexander Friedrich
• Chris Biemann

References:

• Kempfert, I., Anwar, S., Friedrich, A., Biemann, C. (2020): Digital History of Concepts: Sense Clustering over Time. 42. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft (DGfS), Hamburg, Germany. (abstract pdf)
• Friedrich, A. and Biemann, C. (2016): Digitale Begriffsgeschichte? Methodologische Überlegungen und exemplarische Versuche am Beispiel moderner Netzsemantik, in: Forum Interdisziplinäre Begriffsgeschichte 5(2):78-96 (pdf)